DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914855561199616 |
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| author | Bobrov, Artem Saltenis, Domantas Sun, Zhaoyue Pergola, Gabriele He, Yulan |
| author_facet | Bobrov, Artem Saltenis, Domantas Sun, Zhaoyue Pergola, Gabriele He, Yulan |
| contents | Drug safety research is crucial for maintaining public health, often requiring comprehensive data support. However, the resources currently available to the public are limited and fail to provide a comprehensive understanding of the relationship between drugs and their side effects. This paper introduces DrugWatch, an easy-to-use and interactive multi-source information visualisation platform for drug safety study. It allows users to understand common side effects of drugs and their statistical information, flexibly retrieve relevant medical reports, or annotate their own medical texts with our automated annotation tool. Supported by NLP technology and enriched with interactive visual components, we are committed to providing researchers and practitioners with a one-stop information analysis, retrieval, and annotation service. The demonstration video is available at https://www.youtube.com/watch?v=RTqDgxzETjw. We also deployed an online demonstration system at https://drugwatch.net/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_01585 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information Bobrov, Artem Saltenis, Domantas Sun, Zhaoyue Pergola, Gabriele He, Yulan Human-Computer Interaction Artificial Intelligence Information Retrieval Drug safety research is crucial for maintaining public health, often requiring comprehensive data support. However, the resources currently available to the public are limited and fail to provide a comprehensive understanding of the relationship between drugs and their side effects. This paper introduces DrugWatch, an easy-to-use and interactive multi-source information visualisation platform for drug safety study. It allows users to understand common side effects of drugs and their statistical information, flexibly retrieve relevant medical reports, or annotate their own medical texts with our automated annotation tool. Supported by NLP technology and enriched with interactive visual components, we are committed to providing researchers and practitioners with a one-stop information analysis, retrieval, and annotation service. The demonstration video is available at https://www.youtube.com/watch?v=RTqDgxzETjw. We also deployed an online demonstration system at https://drugwatch.net/. |
| title | DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information |
| topic | Human-Computer Interaction Artificial Intelligence Information Retrieval |
| url | https://arxiv.org/abs/2407.01585 |